After reading the earlier Medium post titled: Group intelligence shows 47% p.a. return

The article said in part,
“During the competition, the robot modeled 27 trades based on forecasts of participants, 17 of them being profitable. This resulted in a 2.8% increase in the model portfolio in currency (47% p.a.) during the experiment.
The most accurate forecasts were made by an investor with 10-year experience, [sic].
Interestingly, the winner’s result would have been +1.48% (25% p.a.), which is almost half less than the return provided by hybrid intelligence.”

I have read that Cindicator’s principle business is in and around the offering of hybrid intelligence for the investment, banking and finance sectors and not around the trade of investments, asset backed instruments etc.
Is there a strong argument for vertically integrating a group of standard products as a ‘white label’ product (ie forecasting for USD/RUB exchange rate, Brent oil, gold and silver) and offering a packaged up instrument (white label) rather than just access to a group of API’s?

Perhaps this is the Cindicator strategy? Are you able to offer some insight into the strategy of value adding to what appears, prima facie, to be valuable predictive information services?  There seems to be a natural bridge to value adding service here? 

Does regulatory caution play a part in your early strategy?